Results 11 to 20 of about 9,687 (293)
Intelligent flexible memristors for artificial synapses and neuromorphic computing
FlexMatMemristors have garnered significant attention in the field of non‐volatile memory devices due to their excellent characteristics such as miniaturization, low power consumption, high performance, and non‐volatility.
Tian-Yu Wang, Jia-Lin Meng
exaly +3 more sources
Filament-free memristors for computing
Nano Convergence, 2023 Memristors have attracted increasing attention due to their tremendous potential to accelerate data-centric computing systems. The dynamic reconfiguration of memristive devices in response to external electrical stimuli can provide highly desirable novel
Sanghyeon Choi +3 more
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Advancing Logic Circuits With Halide Perovskite Memristors for Next‐Generation Digital Systems [PDF]
SmartMatThe potential of all‐inorganic halide perovskite‐based memristors as a solution to the limitations of traditional memory systems, particularly in the context of edge computing and next‐generation digital architectures, is investigated.
Mostafa Shooshtari +7 more
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Advanced Electronic Materials, 2023 For Schottky barrier‐modulated memristors based on 2D semiconductors, it has, to date, not been possible to achieve control over defect type and concentration as the measured switching characteristics vary considerably even under similar fabrication ...
Viacheslav Sorkin +2 more
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Metal–Organic Frameworks–Based Memristors: Materials, Devices, and Applications
Molecules, 2022 Facing the explosive growth of data, a number of new micro-nano devices with simple structure, low power consumption, and size scalability have emerged in recent years, such as neuromorphic computing based on memristor.
Fan Shu +4 more
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Nature CommunicationsOptical memristors represent a monumental leap in the fusion of photonics and electronics, heralding a new era of applications from neuromorphic computing to artificial intelligence. However, current technologies are hindered by complex fabrication, limited endurance, high optical loss or low modulation depth.
Chenlei Li +15 more
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Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2023 An ideal memristor that has been theoretically predicted almost a half-century ago is a nonlinear power dissipating circuit element. Nowadays, memristive systems such as thin films which are not ideal memristors are also called memristors.
Ceylan Dalmış Ercan +2 more
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Integrated optical memristors [PDF]
, 2023 Memristors in electronics have shown the potential for a range of applications, ranging from circuit elements to neuromorphic computing. In recent years, the ability to vary the conductance of a channel in electronics has enabled in-memory computing ...
Wolfram H. P. Pernice +7 more
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Training Memristors for Reliable Computing. [PDF]
, 2013 The computation goals of the digital computing world have been segmented into different factions. The goals are no longer rooted in a purely speed/performance standpoint as added requirements point to much needed interest in power awareness.
Ebong, Idongesit Effiong
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Tripartite entanglement in quantum memristors [PDF]
, 2022 We study the entanglement and memristive properties of three coupled quantum memristors. We consider quantum memristors based on superconducting asymmetric SQUID architectures which are coupled via inductors.
Hegade, N. N. +5 more
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